Keith E. Woeste

Ming Yin

Current Team Members

Graduate Students

Ryan Dailey

Abhinav Goel

Aniesh Chawla

Kent Gauen

Sara Aghajanzadeh

Active Learning

Exploiting statistical understanding between source and target domain dataset, the Active Learning team strives to query data that is a subset of the target domain by engineering novel transfer and active learning metrics to eliminate redundancies within datasets.

Damini Rijhwani

Noureldin Hendy

Isha Ghodgaonkar

Jack Hyslop

Jacob Harmon

Li Yon Tan

Nikita Rajaneesh

Nobelle Tay

Shijin Wang

Adaptive Object Detection

Our team is focused on developing adaptive object detection software that improves object detection on night time image data.

Daniel Merrick

Karthik Maiya

Kirthi Shankar Sivamani

Rui Wang

Camera Discovery + Reliability

Find factors to identify useful cameras for emergency responses.

Krishna Kumar

Sripath Mishra

Andrew Liu

Josh Majors

Zicong Wang

Crowdsourcing

Reduce the biased results in incorrectly trained image processing classifiers by utilizing the power of crowdsourcing.

Xiao Hu

Altug Gemalmaz

Gore Kao

Haobo Wang

Pranjali Raturi

Dataset Bias

Improve the performance of transfer learning by utilizing how the concentration of objects of interest in training data change how well the model transfers to a new dataset with objects of interest concentrated in a different region.

Ashley Kim

Arjun Balasubramanian

Fischer Bordwell

Jiahao Sun

Menna Hassan

Drone Video

Develop autonomous solution for a drone to detect doors and handles. We are looking into different approaches: point cloud library(PCL), Tensorflow object-detection API, SIFT & SURF.

Nathan M. Gizaw

Alex Brachet-Mialot

Blessie Tandon

Minghao Sun

Xinlue Liu

Yanjun Chen

Yiming Li

Yunjin Cho

Forest Inventory Analysis

Use an optical lens to detect the diameter at breast height of each tree in a forest.

Nick Eliopoulos

Runjia Shen

Yezhi Shen

Yi Xie

Yoon Sung Kim

Younggil Chang

Zijun Lin Lin

Human Behavior in Video

To detect and map pedestrian traffic in targeted areas for land development through consistent re-identification. The data for analysis will be collected through twenty-four hour live feeds.

Paul B. Zhang

Rohan Prabhu

Ashita Bawankule

Ethan Glaser

Ian Haggerty

Juanda He

Moiz Rasheed

Sumati Gupta

Image Database

To aggregate all scattered data in a centralized location and add general functionality to it. We want to design a database that can retrieve data(image or video), build index by object detection and store the data and index.

Ling Zhang

Ayushi Gupta

Haoran Wang

Lakshya Goyal

Roopasree Naidu

Shunqiao Huang

Youngsik Yoon

Parallel Computing for Vision

Use camera parameters (time of the day, location) to increase the confidence of object detection in real time analysis.

Alex Xu

Matthew Kelleher

Caleb Tung

Mridul Arora

Peter Huang

Software Engineering

Developing a software engineering process for the all teams in CAM2.

Noah Curran

Andrew Beutler

Ruihong Lyu

Weiqing Huang

Yuting Guo

Technology Commercialization

Enter into the Burton D. Morgan Business Model Competition.

Andrew Ulmer

Zohar Kapach

Web UI + Camera API

Maintain, update and improve the content and user interface at cam2project.net. Build the new website for helps site. Ensure easily accessibility of the camera database. Ensure the correctness of data in the database.